The Iterative Extraction Approach to Clustering [chapter]

Boris Mirkin
2008 Lecture Notes in Computational Science and Engineering  
The Iterative Extraction approach (ITEX) extends the one-by-one extraction techniques in Principal Component Analysis to other additive data models. We describe additive models for clustering entity-to-feature and similarity data and apply ITEX for deriving computationally feasible clustering solutions. Specifically, two ITEX derived clustering methods, iK-Means and ADDI-S, are presented as well as update results on theoretical, experimental and applicational aspects of these methods.
doi:10.1007/978-3-540-73750-6_6 fatcat:sqrj6qrt6nbq3oxt3go2baycpu